[Blake] just finished a gas sensor suite built from Gadgeteer parts. The three sensors are the cylindrical towers along the left hand side of the assembly. The one at the top (with the orange ring) is an alcohol sensor. The middle one senses ammonia and the lower sensor measures air quality. Also rolled into the mix are temperature and humidity sensors.
You can collect a lot of data with this type of setup. To keep it organized [Blake] used the ThingSpeak interface. Using the NIC in the upper right he uploads the measurements for real-time graphing. The setup is explained in detail in the video after the break, including a test with some cleaning ammonia.
We haven’t tried out the Gadgeteer system for ourselves yet. But you’ve got to admit that the ribbon cable connector system the family of parts uses really helps to keep a rather complicated setup like this one nice and tidy.
Continue reading “Gas sensor suite built with Gadgeteer modules”
You can have a lot of fun tinkering with the Raspberry Pi. But in addition to the low-cost hobby potential it is actually a great choice for serious data harvesting. This air quality monitor is a great example of that. The standalone package can be taped, screwed, bolted, or bungeed at the target location with a minimum of effort and will immediately start generating sample data.
The enclosure is a weather proof electrical box. The RPi board is easy to spot mounted to the base of the case. On the lid there is an 8 Ah battery meant to top off an iPhone. It works perfectly as it provides a USB port and enough current to operate the Pi. On top of that battery is a 3G modem used to access the data remotely — although it can log to the SD card for collection at a later time if you’d rather not mess with a cell network.
Look closely at the GPIO header and you’ll notice that an ADC add-on board has been plugged in. This is used to take the readings from the gas sensor which is monitoring for air pollutants in Paris.
[Chris] has allergies, asthma, and uses a wood burning stove. You can imagine why testing his air quality might be something he’d be interested in. He has a very nice $290 laser particle counter, but was really curious how the $12 sharp sensor he found would stack up. To find out, he plugged it into an arduino and started logging both on pachube.
After a few different tests, like lighting a match, blowing it out, and letting the smoke flow into the sensors, he decided he needed something better. Cooking some pancakes turned out to be his ultimate method. After charting the dissipation of particles after cooking a nice batch of griddle cakes, he found the two sensors to be surprisingly similar.
The next time you set off for a long day in the coal mines, forget the canary – bring your Roomba along instead!
While we are pretty sure that canaries are no longer used in the mining industry, this Roomba hack could make a suitable replacement if they were. A team from the Public Laboratory for Open Technology and Science (PLOTS) recently showed off a Roomba which they modified to test an area’s air quality. Using an Arduino and a volatile organic chemical (VOC) detecting air quality sensor, the Roomba goes about its normal business, lighting an LED any time it encounters overly contaminated air. When captured via a long exposure image, the process creates a “bad air” map of sorts, with the polluted areas highlighted by the glow of the LED.
While the Roomba currently only detects VOCs, the team plans on adding additional sensors in the near future to expand its functionality. The Roomba is merely a proof of concept at the moment, but we imagine that similar technology will be adapted for use in unmanned explorations of chemically hostile environments, if that hasn’t happened already.
[via DVice] [Image via TechnologyReview]
It seems everybody has a different interpretation of the perfect alarm clock. [Loic Royer's] alarm clock is not the loudest, or the smartest, but does have some interesting features. By monitoring several environmental factors like temperature, air quality, humidity, dew point, and your own sleep patterns, this alarm clock can determine the best moment in the morning to wake you up.
The main sensor is a wireless accelerometer with the theory being: the more you move in your sleep, the closer you are to a conscious state. The other sensors assist in picking the perfect moment, and awaken you with the sound of birds chirping.
For now all we have is the source code and the list of hardware, but for anyone wanting to try, a circuit diagram wouldn’t be too hard to figure out on your own. Check after the rift for some more videos. Continue reading “Lolo’s (perfect moment) alarm clock”